Pantelis Georgiou
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View article: Sensitive near point-of-care detection of asymptomatic and submicroscopic Plasmodium falciparum infections in African endemic countries
Sensitive near point-of-care detection of asymptomatic and submicroscopic Plasmodium falciparum infections in African endemic countries Open
Limited diagnostic capacity for detecting asymptomatic malaria infections with low parasite densities hinders elimination efforts in Africa. Here, we adapt a near point-of-care, LAMP-based diagnostic platform for malaria diagnosis using ca…
View article: An artificial intelligence-based approach to identify volume status in patients with severe dengue using wearable PPG data
An artificial intelligence-based approach to identify volume status in patients with severe dengue using wearable PPG data Open
Dengue shock syndrome (DSS) is a serious complication of dengue infection which occurs when critical plasma leakage results in haemodynamic shock. Treatment is challenging as fluid therapy must balance the risk of hypoperfusion with volume…
View article: High-Sensitivity Near Point-of-Care Detection of Asymptomatic and Sub-microscopic Plasmodium Infections in African Endemic Countries
High-Sensitivity Near Point-of-Care Detection of Asymptomatic and Sub-microscopic Plasmodium Infections in African Endemic Countries Open
The limited diagnostic capacity to detect asymptomatic individuals with low parasite densities continues to hinder malaria elimination efforts across Africa. We adapted a near point-of-care LAMP-based diagnostic platform, originally design…
View article: Smart-Plexer 2.0: Leveraging New Features of Amplification Curves to Enhance the Selection of Multiplex PCR Assays in Multi-Target Identification
Smart-Plexer 2.0: Leveraging New Features of Amplification Curves to Enhance the Selection of Multiplex PCR Assays in Multi-Target Identification Open
Multiplex PCR plays a critical role in diagnostics by enabling the detection of multiple targets in a single reaction. However, its use is often limited by the need for multiple fluorescent channels, which are restricted in standard PCR in…
View article: Diagnostic value of genetic and epigenetic biomarker panels for colorectal cancer detection: a systematic review
Diagnostic value of genetic and epigenetic biomarker panels for colorectal cancer detection: a systematic review Open
View article: Handheld ISFET Lab-on-Chip detection of YAP1 nucleic acid and AR-FL and AR-V7 mRNA from liquid biopsies for prostate cancer prognosis
Handheld ISFET Lab-on-Chip detection of YAP1 nucleic acid and AR-FL and AR-V7 mRNA from liquid biopsies for prostate cancer prognosis Open
Prostate cancer (PCa) is a highly prevalent disease, causing the second largest amount of male cancer deaths worldwide. Currently, the prostate specific antigen (PSA) test remains the standard serum prognostic and diagnostic monitoring bio…
View article: Portable molecular diagnostic platform for rapid point-of-care detection of mpox and other diseases
Portable molecular diagnostic platform for rapid point-of-care detection of mpox and other diseases Open
View article: The Neurochemical Signature of Cardiac Arrest: A Multianalyte Online Microdialysis Study
The Neurochemical Signature of Cardiac Arrest: A Multianalyte Online Microdialysis Study Open
This work describes the use of high resolution online microdialysis coupled with a wireless microfluidic electrochemical sensing platform for continuous monitoring of the effect of cardiac arrest and resuscitation methods on brain glucose …
View article: Predictive Modelling of nephrotoxicity from vancomycin and piperacillin-tazobactam (VPT) combination and vancomycin as monotherapy: an artificial intelligence (AI) Approach
Predictive Modelling of nephrotoxicity from vancomycin and piperacillin-tazobactam (VPT) combination and vancomycin as monotherapy: an artificial intelligence (AI) Approach Open
Introduction: The concomitant use of vancomycin with β-lactam antibiotics, such as piperacillin-tazobactam, presents a clinical challenge due to the heightened risk of acute kidney injury (AKI). This study aims to develop a predictive mode…
View article: Prospective and End User Evaluation of an AI-based Clinical Decision Support System for Individualized Antimicrobial Stewardship
Prospective and End User Evaluation of an AI-based Clinical Decision Support System for Individualized Antimicrobial Stewardship Open
Introduction: Antimicrobial stewardship is crucial in combating the global problem of antimicrobial resistance. A key aspect of stewardship is intravenous-to-oral switching (IVOS). Research indicates oral antibiotics are often non-inferior…
View article: Utilising routinely collected clinical data through time series deep learning to improve identification of bacterial bloodstream infections: a retrospective cohort study
Utilising routinely collected clinical data through time series deep learning to improve identification of bacterial bloodstream infections: a retrospective cohort study Open
UK Department of Health and Social Care, the National Institute for Health and Care Research, and the Wellcome Trust.
View article: GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series
GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series Open
Accurate prediction of future blood glucose (BG) levels can effectively improve BG management for people living with type 1 or 2 diabetes, thereby reducing complications and improving quality of life. The state of the art of BG prediction …
View article: A Monte-Carlo Simulation Based on First-Passage Distributions for Spatio-Temporal Detection on Potentiometric Sensor Arrays
A Monte-Carlo Simulation Based on First-Passage Distributions for Spatio-Temporal Detection on Potentiometric Sensor Arrays Open
View article: Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature review
Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature review Open
This comprehensive survey illuminates the landscape of ML applications in blood-related infection management, offering insights for future research and clinical practice. Implementing clinical ML-based clinical decision support systems req…
View article: Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring
Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring Open
View article: Diagnostics for optimised dengue surveillance: a qualitative focus group study to investigate user experience and requirements in Thailand
Diagnostics for optimised dengue surveillance: a qualitative focus group study to investigate user experience and requirements in Thailand Open
Objectives Effective, real-time surveillance of dengue may provide early warning of outbreaks and support targeted disease-control intervention but requires widespread accurate diagnosis and timely case reporting. Research directing innova…
View article: Recent Electrochemical Advancements for Liquid-Biopsy Nucleic Acid Detection for Point-of-Care Prostate Cancer Diagnostics and Prognostics
Recent Electrochemical Advancements for Liquid-Biopsy Nucleic Acid Detection for Point-of-Care Prostate Cancer Diagnostics and Prognostics Open
Current diagnostic and prognostic tests for prostate cancer require specialised laboratories and have low specificity for prostate cancer detection. As such, recent advancements in electrochemical devices for point of care (PoC) prostate c…
View article: Dragonfly: A Portable Molecular Diagnostic Platform for Rapid Point-of-Care Detection of Mpox and Other Diseases
Dragonfly: A Portable Molecular Diagnostic Platform for Rapid Point-of-Care Detection of Mpox and Other Diseases Open
The explosive global spread of Clade II mpox in humans and sustained human-to-human transmission of the more virulent Clade I mpox in the Democratic Republic of Congo highlight both the current lack of, and critical need for, point-of-care…
View article: Computer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data
Computer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data Open
View article: Multi-Horizon Glucose Prediction Across Populations With Deep Domain Generalization
Multi-Horizon Glucose Prediction Across Populations With Deep Domain Generalization Open
Real-time continuous glucose monitoring (CGM), augmented with accurate glucose prediction, offers an effective strategy for maintaining blood glucose levels within a therapeutically appropriate range. This is particularly crucial for indiv…
View article: Rapid, Portable, and Electricity-free Sample Extraction Method for Enhanced Molecular Diagnostics in Resource-Limited Settings
Rapid, Portable, and Electricity-free Sample Extraction Method for Enhanced Molecular Diagnostics in Resource-Limited Settings Open
The COVID-19 pandemic has highlighted the need for rapid and reliable diagnostics that are accessible in resource-limited settings. To address this pressing issue, we have developed a rapid, portable, and electricity-free method for extrac…
View article: An automatic deep reinforcement learning bolus calculator for automated insulin delivery systems
An automatic deep reinforcement learning bolus calculator for automated insulin delivery systems Open
In hybrid automatic insulin delivery (HAID) systems, meal disturbance is compensated by feedforward control, which requires the announcement of the meal by the patient with type 1 diabetes (DM1) to achieve the desired glycemic control perf…
View article: Clinical evaluation of AI-assisted muscle ultrasound for monitoring muscle wasting in ICU patients
Clinical evaluation of AI-assisted muscle ultrasound for monitoring muscle wasting in ICU patients Open
View article: Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach Open
Newly diagnosed Type 1 Diabetes (T1D) patients often struggle to obtain effective Blood Glucose (BG) prediction models due to the lack of sufficient BG data from Continuous Glucose Monitoring (CGM), presenting a significant "cold start" pr…
View article: Biocompatibility characterisation of CMOS-based Lab-on-Chip electrochemical sensors for in vitro cancer cell culture applications
Biocompatibility characterisation of CMOS-based Lab-on-Chip electrochemical sensors for in vitro cancer cell culture applications Open
Lab-on-Chip electrochemical sensors, such as Ion-Sensitive Field-Effect Transistors (ISFETs), are being developed for use in point-of-care diagnostics, such as pH detection of tumour microenvironments, due to their integration with standar…
View article: Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study
Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study Open
EPSRC Centre for Doctoral Training in High-Performance Embedded and Distributed Systems (HiPEDS) (Grant: EP/L016796/1) and the Wellcome Trust (Grants: 215010/Z/18/Z and 215688/Z/19/Z).
View article: GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series Open
Accurate prediction of future blood glucose (BG) levels can effectively improve BG management for people living with diabetes, thereby reducing complications and improving quality of life. The state of the art of BG prediction has been ach…
View article: Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning
Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning Open
View article: An electroplated Ag/AgCl quasi-reference electrode based on CMOS top-metal for electrochemical sensing
An electroplated Ag/AgCl quasi-reference electrode based on CMOS top-metal for electrochemical sensing Open
The integration and mass-production of reference electrodes for CMOS-based electrochemical sensing systems pose a challenge for the accessibility and commercial-viability of such devices. In this paper, a method of electroplating an Ag/AgC…
View article: Ai-Driven Workflow for Automated Colorimetric Isothermal Amplification for Robust Pathogen Detection on Portable Devices
Ai-Driven Workflow for Automated Colorimetric Isothermal Amplification for Robust Pathogen Detection on Portable Devices Open